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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 8571
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    Explanations

    instances where something is perceived to be performing well

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating performance evaluation or success

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    payer
    -0.72
    ingly
    -0.71
    sonian
    -0.71
    etus
    -0.69
    umes
    -0.67
    IZE
    -0.66
    eworthy
    -0.64
    SPONSORED
    -0.64
    enez
    -0.62
    ::
    -0.62
    POSITIVE LOGITS
    ventory
    0.93
    roads
    0.79
     spite
    0.77
     adversity
    0.76
     scrim
    0.74
     regard
    0.73
    ahime
    0.72
     regards
    0.70
     demos
    0.69
     lapt
    0.66
    Activations Density 0.324%

    No Known Activations